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About

AtlasMap is a data mapping solution with interactive web based user interface, that simplifies configuring integrations between Java, XML, CSV and JSON data sources. You can design your data mapping with AtlasMap Data Mapper UI canvas, and then run that data mapping via runtime engine. In addition to plain Java API provided by runtime engine, camel-atlasmap Component is also available to perform data mapping as a part of Apache Camel route. There is also a Camel Quarkus extension available. The easiest way to use AtlasMap Data Mapper UI is the standalone mode. Or you can use it through a VS Code plugin. Historically, the AtlasMap Data Mapper UI was designed to work within Syndesis UI and it’s still a best way to experience full benefits of integrated typed data mapping with UI. You can install and run Syndesis by following the Syndesis Developer Handbook. You will find the AtlasMap Data Mapper UI under the integrations panel after selecting or adding an integration with a Data Mapper.

About

The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers and enterprises seeking a data mapping solution to simplify the process of configuring integrations between data sources

Audience

Developers, data engineers, and organizations looking for a fully managed, cloud-based database solution to build scalable, secure, and high-performance applications

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.08/hour
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • MongoDB Atlas significantly reduces operational overhead by handling provisioning, scaling, backups, and maintenance automatically. From a DevOps standpoint, this means less time managing infrastructure and more time focusing on reliability, pipelines, and delivery. The ability to deploy clusters in minutes across AWS, Azure, or GCP makes it highly flexible for multi cloud strategies and rapid environment setup

Cons

  • Despite being managed, it is not fully hands off. Production setups still require careful configuration of cluster sizing, networking, and security policies, especially for high traffic workloads. Misconfiguration can still lead to performance or cost issues

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

AtlasMap
United States
www.atlasmap.io

Company Information

MongoDB
Founded: 2007
United States
www.mongodb.com/atlas

Alternatives

Apache Camel

Apache Camel

Apache Software Foundation

Alternatives

Liquid Data Mapper

Liquid Data Mapper

Liquid Technologies
RaimaDB

RaimaDB

Raima
Nomic Atlas

Nomic Atlas

Nomic AI
PDF-Mapper

PDF-Mapper

ExxTainer
Azure Cosmos DB

Azure Cosmos DB

Microsoft

Categories

Data Mapping Supported

Categories

Integrations

BigID Not Supported
CloudAvocado Not Supported
CloudZero Not Supported
Cloudaware Not Supported
DataLakeHouse.io Not Supported
Draftt Not Supported
Fleece AI Not Supported
Hevo Not Supported
Integrate.io Not Supported
LLMWare.ai Not Supported
Lyftrondata Not Supported
Mimasa AI Not Supported
OrcaSheets Not Supported
Procyon Not Supported
QuerySurge Not Supported
Refold Not Supported
SQLyog Not Supported
Scarf Not Supported
Secuvy AI Not Supported
Terraform Not Supported

Integrations

BigID Supported
CloudAvocado Supported
CloudZero Supported
Cloudaware Supported
DataLakeHouse.io Supported
Draftt Supported
Fleece AI Supported
Hevo Supported
Integrate.io Supported
LLMWare.ai Supported
Lyftrondata Supported
Mimasa AI Supported
OrcaSheets Supported
Procyon Supported
QuerySurge Supported
Refold Supported
SQLyog Supported
Scarf Supported
Secuvy AI Supported
Terraform Supported
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